Abstract
The rapid expansion of available online services has raised concerns about user privacy. As a response to this concern, EU Parliament has recently approved General Data Protection Regulation, which aims to give citizens back control of their personal data. Built upon a recently developed token-based recommendation method (UPCV), we introduce in this paper a novel approach of networking collaborative recommendation engines and present the first results of a series of studies regarding its capability to protect user privacy.
Original language | English |
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Pages (from-to) | 340-344 |
Journal | International Journal of Humanities and Management Sciences (IJHMS) |
Volume | 4 |
Issue number | 4 |
Publication status | Published - 2016 |
MoE publication type | A1 Journal article-refereed |
Keywords
- data protection
- GDPR
- privacy
- recommendations
- targeted marketing
- upcv